Predx-Tools

Histopathological images, which are digitized images of human or animal tissue, contain insights into disease state. Typically, a pathologist will look at a slide under a microscope to make decisions about prognosis and treatment. Due to the high complexity of the data, applying automatic image analysis is challenging. Often, human intervention in the form of manual annotation or quality control ( QC ) is required. Additionally, the data itself varies considerably in available features, size, and shape. Thus, a streamlined and interactive approach is a necessary part of any digital pathology pipeline. We present PredX-Tools, a suite of simple and easy to use python GUI applications which facilitate analysis of histopathological images and provide a no-code platform for data scientists and researchers to perform analysis on raw and transformed data.